In this course, you will face a number of challenges across different concepts, all with the data analytics library Pandas.

This course is mainly to refresh your knowledge, as well as help you understand more advanced concepts. By solving multiple challenges, you will surely strengthen your skills and it will help you ace your interview involving Pandas.

You will cover many topics such as: grouping, filtering, date manipulation, and more. By the time you finish this course, you will have the confidence you need to land your dream job.

Data Analytics Interview Prep Using Pandas

## Problem definition

Your music analyst now has a list of date entries, where every entry is the date when a concert of their favorite band was held.

The analyst now wants to know the total number of concerts held in the month of September in 2019 and 2020.

# Problem definition

Your music analyst now has a list of date entries, where every entry is the date when a concert of their favorite band was held.

The analyst now wants to know the total number of concerts held in the month of September in 2019 and 2020.

This challenge expects you to filter a DataFrame based on a date falling within a specific month/year.

Course Introduction

Selection / Filters

Grouping

Dates Manipulation

Apply / Map

Merge/Concat

Quizzes: Assorted Topics

Conclusion

Challenge 1: Count of Dates in Month (Trivial)

Problem definition